BDgen: A Universal Big Data Generator

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10363566" target="_blank" >RIV/00216208:11320/17:10363566 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3105831.3105847" target="_blank" >https://doi.org/10.1145/3105831.3105847</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3105831.3105847" target="_blank" >10.1145/3105831.3105847</a>

Result language
angličtina
Original language name
BDgen: A Universal Big Data Generator
Original language description
This paper introduces BDgen, a generator of Big Data targeting various types of users, implemented as a general and easily extensible framework. It is divided into a scalable backend designed to generate Big Data on clusters and a frontend for user-friendly definition of the structure of the required data, or its automatic inference from a sample data set. In the first release we have implemented generators of two commonly used formats (JSON and CSV) and the support for general grammars. We have also performed preliminary experimental comparisons confirming the advantages and competitiveness of the solution.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st International Database Engineering & Applications Symposium
ISBN
978-1-4503-1234-9
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
200-208
Publisher name
ACM Press
Place of publication
New York, NY, USA
Event location
Bristol, Great Britain
Event date
Jul 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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